SPEED: Single-cell Pan-species atlas in the light of Ecology and Evolution for Development and Diseases

Author:

Chen Yangfeng12,Zhang Xingliang34,Peng Xi125,Jin Yicheng12,Ding Peiwen12,Xiao Jiedan12,Li Changxiao12,Wang Fei6,Chang Ashley12,Yue Qizhen7,Pu Mingyi8,Chen Peixin9,Shen Jiayi10,Li Mengrou11,Jia Tengfei11,Wang Haoyu5,Huang Li12,Guo Guoji13,Zhang Wensheng910,Liu Hebin11,Wang Xiangdong14,Chen Dongsheng12ORCID

Affiliation:

1. Institute of Systems Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College , Beijing 100005, China

2. Suzhou Institute of Systems Medicine , Suzhou 215123, China

3. Department of Respiratory Diseases, Institute of Pediatrics, Shenzhen Children's Hospital , Shenzhen 518038, China

4. Department of Pediatrics, the Affiliated Hospital of Guangdong Medical University , Zhanjiang 524001, China

5. College of Life Sciences, University of Chinese Academy of Sciences , Beijing 100049, China

6. Department of Biomedicine, Aarhus University , Aarhus 8000, Denmark

7. State Key Laboratory of Cell Biology, CAS Center for Excellence in Molecular Cell Science, Shanghai Institute of Biochemistry and Cell Biology, Chinese Academy of Sciences, University of Chinese Academy of Sciences , Shanghai 200031, China

8. Department of Medicine, Sun Yat-sen University , Shenzhen 518106, China

9. Cam-Su Genomic Resource Center, Medical College of Soochow University , Suzhou 215123 , China

10. Peninsula Cancer Research Center, School of Basic Medical Sciences, Binzhou Medical University , Yantai 264003 , China

11. Institutes of Biology and Medical Sciences (IBMS), Soochow University , Suzhou 215123, China

12. The Future Laboratory, Tsinghua University , Beijing 100084, China

13. Center for Stem Cell and Regenerative Medicine, Zhejiang University School of Medicine , Hangzhou 310058 , China

14. Zhongshan Hospital, Department of Pulmonary and Critical Care Medicine, Institute for Clinical Science, Shanghai Institute of Clinical Bioinformatics , Shanghai 200032 , China

Abstract

Abstract It is a challenge to efficiently integrate and present the tremendous amounts of single-cell data generated from multiple tissues of various species. Here, we create a new database named SPEED for single-cell pan-species atlas in the light of ecology and evolution for development and diseases (freely accessible at http://8.142.154.29 or http://speedatlas.net). SPEED is an online platform with 4 data modules, 7 function modules and 2 display modules. The ‘Pan’ module is applied for the interactive analysis of single cell sequencing datasets from 127 species, and the ‘Evo’, ‘Devo’, and ‘Diz’ modules provide comprehensive analysis of single-cell atlases on 18 evolution datasets, 28 development datasets, and 85 disease datasets. The ‘C2C’, ‘G2G’ and ‘S2S’ modules explore intercellular communications, genetic regulatory networks, and cross-species molecular evolution. The ‘sSearch’, ‘sMarker’, ‘sUp’, and ‘sDown’ modules allow users to retrieve specific data information, obtain common marker genes for cell types, freely upload, and download single-cell datasets, respectively. Two display modules (‘HOME’ and ‘HELP’) offer easier access to the SPEED database with informative statistics and detailed guidelines. All in all, SPEED is an integrated platform for single-cell RNA sequencing (scRNA-seq) and single-cell whole-genome sequencing (scWGS) datasets to assist the deep-mining and understanding of heterogeneity among cells, tissues, and species at multi-levels, angles, and orientations, as well as provide new insights into molecular mechanisms of biological development and pathogenesis.

Funder

Natural Science Foundation of Jiangsu Province

CAMS Innovation Fund for Medical Sciences

Chinese Academy of Medical Sciences

Gusu Innovation and Entrepreneurship

Shenzhen Science and Technology

Publisher

Oxford University Press (OUP)

Subject

Genetics

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